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Markov processes, Brownian motion, and time symmetry

	Author(s):	Kai Lai Chung, John B. Walsh
	Collection:	Grundlehren der mathematischen Wissenschaften 249
	Publisher:	Springer
	Year:	2005
	Language:	English
	Pages:	443 pages
	Size:	2.53 MB
	Extension:	DJVU

[tab] [content title="Description"]From the reviews of the First Edition:"This excellent book is based on several sets of lecture notes written over a decade and has its origin in a one-semester course given by the author at the ETH, Zurich, in the spring of 1970. The author's aim was to present some of the best features of Markov processes and, in particular, of Brownian motion with a minimum of prerequisites and technicalities. The reader who becomes acquainted with the volume cannot but agree with the reviewer that the author was very successful in accomplishing this goal...The volume is very useful for people who wish to learn Markov processes but it seems to the reviewer that it is also of great interest to specialists in this area who could derive much stimulus from it. One can be convinced that it will receive wide circulation. (Mathematical Reviews)This new edition contains 9 new chapters which include new exercises, references, and multiple corrections throughout the original text. [/content] [content title="Content"] [/content] [content title="About the author"]Chung was a native of Hangzhou, the capital city of Zhejiang Province. Chung entered Tsinghua University in 1936, and initially studied physics at its Department of Physics. In 1940, Chung graduated from the Department of Mathematics of the National Southwestern Associated University, where he later worked as a teaching assistant.[citation needed] During this period, he first studied number theory with Lo-Keng Hua and then probability theory with Pao-Lu Hsu. [/content] [/tab]

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